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requirements.txt

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+pytube
+whisper

script.py

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+from pytube import YouTube
+import whisper
+import os
+import re
+import warnings
+
+def sanitize_filename(filename):
+    return re.sub(r'[\\/*?:"<>|]', '_', filename)
+
+def save_transcription(transcription, folder_path, file_name='transcription.txt'):
+    file_path = os.path.join(folder_path, file_name)
+    with open(file_path, 'w', encoding='utf-8') as file:
+        file.write(transcription)
+    return file_path
+
+def download_youtube_audio(url, folder_path):
+    yt = YouTube(url)
+    video_title = sanitize_filename(yt.title)
+    folder_path = os.path.join(folder_path, video_title)
+    os.makedirs(folder_path, exist_ok=True)
+
+    audio_path = os.path.join(folder_path, 'audio.mp3')
+    yt.streams.filter(only_audio=True).first().download(filename=audio_path)
+    return audio_path, folder_path
+
+def transcribe_audio(audio_path, model_name='base'):
+    warnings.filterwarnings("ignore", message="FP16 is not supported on CPU; using FP32 instead")
+
+    model = whisper.load_model(model_name)
+    result = model.transcribe(audio_path)
+    return result['text']
+
+video_url = input("Enter the YouTube video URL: ")
+folder_path = 'Downloaded_Audios'
+
+audio_path, folder_path = download_youtube_audio(video_url, folder_path)
+transcription = transcribe_audio(audio_path)
+transcription_file_path = save_transcription(transcription, folder_path)
+
+print(f"Transcription saved to: {transcription_file_path}")
+print("\nTranscription:\n")
+print(transcription)